Bayesian Heterogeneity Modeling
Bayesian Heterogeneity Modeling is a statistical framework within Bayesian meta-analysis that characterizes between-study variability through probabilistic modeling of random effects, distinguishing itself by incorporating prior distributions on heterogeneity parameters to quantify uncertainty in effect-size variation across studies.
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2017–2026
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Rebecca Turner, Jonathan Davey, Mike Clarke et al. · International Journal of Epidemiology · 2012 · 849 citations · Full text
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MRC Biostatistics Unit
Cambridge, United Kingdom
8 h-index
21 publications
7.8K citations

University of Minnesota
Minneapolis, United States
5 h-index
16 publications
230 citations
University of Cambridge
Cambridge, United Kingdom
5 h-index
9 publications
1.4K citations

University of Bristol
Bristol, United Kingdom
4 h-index
8 publications
1K citations
University of Michigan
Ann Arbor, United States
4 h-index
4 publications
104 citations
University of Oxford
Oxford, United Kingdom
3 h-index
5 publications
65 citations
Charles University
Prague, Czechia
3 h-index
6 publications
114 citations

University of Amsterdam
Amsterdam, The Netherlands
3 h-index
7 publications
497 citations
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16 publications · 1.8K citations
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